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Agricultural banks likely respond differently to economic downturns compared to nonagricultural banks. Limited previous research has examined the performance of agricultural banks under economic crisis and in the presence of banking regulations. This study aims to explore agricultural banks' responses to economic and regulation shocks relative to nonagricultural banks.

This study uses bank-quarter level data from 2002 to 2022 for virtually all commercial banks in the U.S. In this research, the Z-score measures the bank’s default risk, the return on assets measures bank profitability and changes in amount of farm loans indicate the wider impact on the agricultural sector. Effects of the financial crisis, Basel III reforms to banking regulation and the coronavirus (COVID-19) pandemic on these banking measures are assessed using distinct empirical frameworks. The empirical estimations use various subsamples based on bank types, bank sizes and time periods.

Economic downturns are associated with fluctuations in returns and the risk of default of commercial banks. Agricultural banks appeared to be more resilient to economic downturns than nonagricultural banks. However, Basel III regulated agricultural banks were more likely to fail amidst the pandemic-related economic shocks than the regulated non-agricultural banks.

This study examines the resiliency of agricultural banks during economic downturns and under postfinancial crisis regulation. This is one of the first empirical works to analyze the effectiveness of Basel III regulation across bank types and sizes considering the COVID-19 pandemic. The key finding suggests that banking regulation should consider not only size heterogeneity but also the heterogeneity in lending portfolios.

Federally subsidized crop insurance aims to mitigate farm risks of crop producers. A body of literature has examined informational problems under this program. However, few studies empirically link crop insurance participation with farm financial performance. Most use county-level aggregates to argue that crop insurance participation is associated with increased farm financial debt. Using farm-level data, this study provides empirical evidence of crop insurance's effects on farm financial risk.

The impact of crop insurance on farm financial risks is assessed using farm-level data from Kansas. The sample consists of at least 1,600 farms each year from 2002 to 2015. Financial risks are measured using the probability of falling into the critical zone of five different financial ratios. The study uses two matching estimators to estimate the causal effects of crop insurance participation on farm financial risks. Several alternative empirical approaches account for unobserved heterogeneity and potential endogeneity.

Crop insurance participation has reduced the farm's likelihood of being in the critical liquidity risk by 8%. This result is robust across matching estimators and alternative specifications to account for unobserved heterogeneity and potential endogeneity.

This is one of the few studies to examine whether crop insurance reduces farm financial risks. This study provides empirical evidence of the extent to which crop insurance enrollment impacts farm financial risks. Findings suggest that crop insurance is critical to maintaining the financial well-being of crop producers, and significantly reduces the likelihood of producers being in a critical liquidity risk.

The number of US commercial banks has declined by about 50% over the last two decades. This change could lead to a potential decline in competition and a potential increase in market power in the agricultural banking market. The focus of this study is to examine whether the risk of failure and the performance of agricultural banks has been affected by bank consolidations.

The impact of bank competition on performance and financial stability of agricultural banks is studied using a Lerner index as a measure of market power. A Z-score is constructed to measure bank stability. Similarly, the return on assets (net income to total assets ratio), return on equity (net income to the total equity ratio), agricultural loan ratio and agricultural loan volume are used as performance measures for agricultural banks. Two-way fixed effect regression models are estimated to measure the impact of competition on financial stability and performance.

Results indicate that bank competition has a U-shaped effect on the probability of default and an inverted U-shaped effect on volume and proportion of agricultural lending. There also exists evidence of a positive but non-linear effect of bank market power on the profitability of agricultural banks.

There is limited literature on the impact of bank competition on financial stability and performance of US agricultural banks. Agricultural banks hold more than 40% of US farm debt. A decrease in the number of banks or the level of competition in agricultural banking may cause an adverse effect on relationship lending. The key findings imply that bank regulatory strategies should focus on enhancing (reducing) competition in more (less) concentrated banking markets to improve the financial health and performance of agricultural banks.

The purpose of this paper is to study the production and efficiency of rice growers in drought prone areas with special attention given to economic and financial factors.

The authors use a parametric stochastic frontier approach and a non-parametric data envelopment analysis.

The study found that financial and liquidity constraints negatively influence production efficiency while off-farm work positively influences efficiency in drought prone areas.

Many biotic and abiotic factors affect the production efficiency of rice growers. Among abiotic stress, drought is the strongest constraint affecting nearly one third of the total rice area in Asia and causing significant economic losses. Farmers’ economic conditions and financial constraints further exacerbate the situation. However, very few studies have analyzed the efficiency in drought prone areas and the influence of economic and financial factors. This study contributes to in this regard by augmenting economic and financial factors in the efficiency estimation of drought prone areas using parametric and non-parametric approach.

The purpose of this paper is to identify financial stress and the causes of financial stress for agricultural cooperatives and provide management recommendations to stakeholders including cooperatives’ managers, boards of directors and lenders.

This research used the geometric mean of the real rate of return on equity to identify financially stressed agricultural cooperatives. The real rate of return on equity allows the allocation of total financial stress among the return on assets, leverage and interest rate issues.

This study found that financially non-stressed agricultural cooperatives had a higher rate of return on equity and rate of return on assets, but lower leverage ratios and interest rates than stressed agricultural cooperatives. Further, non-stressed cooperatives had higher total assets and sales compared to stressed cooperatives. This suggests that smaller cooperatives are more likely to face financial stress than larger cooperatives. The decomposition of the financial problem showed that a substantial percentage of financial stress was correlated with a low return on assets or profitability. A smaller percentage of financial stress was due to financing decisions.

This study provides value by measuring the impact of profitability, leverage and interest rate on the financial performance of agricultural cooperatives. Results showed that a substantial proportion of financial stress was associated with a low return on assets. This indicates that profitability is a problem for agricultural cooperatives. This study also examines profitability during a period of volatile returns in production agriculture.

The purpose of this chapter is to assess the food security situation in Bangladesh based on 2011/2012 Bangladesh Integrated Household Survey data using two commonly measured food security indicators: Food Consumption Score (FCS) and Household Hunger Scale (HHS).

The dependent variable in the model is a categorical variable representing different scales of food security as obtained from the FCS and HHS indicators. These categorical variables are explained by annual remittances received by the households; the demographic characteristics (age, gender, literacy level, and occupation) of the household head; and total monthly income from agricultural and non-agricultural wages using ordered probit regression models.

Results indicated that remittances play an important role in improving the food security of households. Other significant variables in the model were income earned outside of the farm, male-operated household, and literacy. Increasing income from other than the agricultural sector significantly raises the probability of a household being food secure.

The Government of Bangladesh should make the agriculture sector stronger at all levels of the value chain. Additionally, providing income generation opportunities for households outside of the farm can be used as a diversification measure to achieve food security within the country.